coleam00/ottomator-agents — explained in plain English
Analysis updated 2026-06-26
Run pre-built AI agents on the Live Agent Studio platform to automate tasks like answering questions or processing content.
Study the source code of working AI agents to understand how they are structured before building your own.
Use the included Python or n8n starter template to build a new agent and submit it to the community studio.
Browse the growing agent library to find an agent that handles a specific task, then run it directly without any setup.
| coleam00/ottomator-agents | lexiforest/curl_cffi | adamchainz/django-cors-headers | |
|---|---|---|---|
| Stars | 5,584 | 5,584 | 5,586 |
| Language | Python | Python | Python |
| Setup difficulty | moderate | easy | easy |
| Complexity | 3/5 | 2/5 | 1/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Running agents requires in-platform tokens (free batch on signup), building your own requires Python or n8n familiarity.
This repository holds the open-source code and workflow files for all the AI agents that run on the Live Agent Studio, a community platform built by oTTomator. The studio is designed as both a learning resource and a practical tool: visitors can explore ready-made AI agents covering a wide range of tasks, run them directly on the platform, or study the code to build their own. The agents themselves are the main content here. Each one is built to do something specific with AI, from answering questions to automating tasks, and the collection is expected to grow steadily. Because the repository is open source, anyone can read exactly how each agent is put together, which makes it a useful study resource for people who want to understand how AI tools are constructed. Using agents on the platform requires tokens, a form of in-platform credit. New users receive a starting batch for free. The token cost varies by agent because some rely on larger AI models, call them several times per request, or use paid third-party services. Tokens can be purchased if needed. For people who want to contribute, the studio accepts community-built agents. The repository includes sample starting points: one for agents built with the n8n workflow tool and one for agents built in Python. A developer guide on the platform walks through the full submission process. The platform is in beta at the time of writing, which means response times may be slower under heavy load and the agent library is still expanding. The creator, Cole Medin, also publishes supporting content on a YouTube channel alongside the platform. For questions or help, the project points users to a community forum called the Think Tank, where members can discuss both using and building agents.
A growing library of open-source AI agents for the oTTomator Live Agent Studio, where you can run ready-made agents for free, study how they work, or use included starter templates to build and submit your own.
Mainly Python. The stack also includes Python, n8n.
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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